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Record W2271186673 · doi:10.1136/bmj.i665

<i>Lancet</i>retracts paper by disgraced Canadian researcher

2016· article· en· W2271186673 on OpenAlexaboutno aff
Caroline White

Bibliographic record

VenueBMJ · 2016
Typearticle
Languageen
FieldHealth Professions
TopicObesity and Health Practices
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceWorld Wide WebData science

Abstract

fetched live from OpenAlex

The Lancet has retracted a 1992 study by the Canadian self proclaimed “father of nutritional immunology,” Ranjit Kumar Chandra, on the grounds that its reliability “can no longer be assured.”1 The study—a major trial that reported an improvement in older people’s immunity and infection risk after taking nutritional supplements2—was the second of Chandra’s studies to be retracted within the past six months. In October The BMJ retracted his 1989 study into the immune benefits of baby formula after receiving a suppressed report of an inquiry of his research, completed in 1995 by his former employer, Memorial University of Newfoundland, after allegations of data fabrication.3 Doubts about the plausibility of the Lancet study first …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.020
metaresearch head score (Gemma)0.126
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Research integrity
Consensus categoriesnone
DomainCandidate signal: Evaluation · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.980
Threshold uncertainty score0.319

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0200.126
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.003
Bibliometrics0.0030.003
Science and technology studies0.0070.008
Scholarly communication0.0100.005
Open science0.0060.003
Research integrity0.0350.047
Insufficient payload (model declined to judge)0.0150.020

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.147
GPT teacher head0.512
Teacher spread0.365 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designNot applicable
DomainEvaluation
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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